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If you've never written a compiler, the word "MLIR" probably looks like alphabet soup. This article is for you. By the end you'll understand, in plain language, what problem MLIR solves and why it had to exist at all. Let's start with the origin story — because where something comes from tells you a
Harness Engineering 101 — สิ่งที่อยู่ใต้พรมของ Agentic AI บทความก่อนเราคุยกันเรื่อง "จาก LLM เปล่า → Agentic AI" แบบ 7 layer เวลาเราใช้ Claude Code, Cursor, หรือ Hermes — เราเห็น AI ทำงานเป็นขั้นตอน: คิด → เรียก tool → ดูผล → คิดต่อ → เรียก tool → เสร็จ สิ่งที่เราไม่เห็นคือ ทุกอย่างที่พังระหว่างทาง
Amazon Web Services Inc.‘s next-generation silicon is working its way deeper into the company’s cloud compute infrastructure offerings with the debut of the new Amazon EC2 C9g and EC2 C9gd instances today. The new virtual machines are powered by the company’s flagship AWS Graviton5 processors, which
Egor Komarov for Unsplash The post The infrastructure lock-in costing AI companies hundreds of millions appeared first on The New Stack.
Amazon Web Services is committing $1bn to embed its own engineers inside customer companies. It is the first cloud giant to copy a playbook that Palantir built and that OpenAI and Anthropic have since adopted. Amazon Web Services said on June 30, 2026 that it would pour $1bn into a new Forward Deplo
After a short public preview, AWS on Tuesday made its Amazon WorkSpaces for Agents — which you should definitely not The post AWS launches a desktop for agents appeared first on The New Stack.
Great creative happens when your tools move at the speed of your ideas. To help you create rich, reliable experiences while reducing regeneration time and costs, we’re adding two new models to Gemini Enterprise Agent Platform. First, we’re announcing the general availability of Nano Banana 2 Lite (G
A couple of months ago, we announced that over 50 Google-managed MCP servers are available. Today, we’ll dive into how to use the Gemini Enterprise Agent Platform remote MCP server to securely connect your external AI agents to the resources inside your Google Cloud environment. Connect your IDE to
Amazon Web Services is investing $1 billion in a new engineering organization that will work directly with enterprise customers building The post AWS just put $1 billion into forward deployed engineers. Here’s why it matters for enterprise teams. appeared first on The New Stack.
The move strengthens the data center operator's position in Northern Virginia, the world's largest data center market, where demand for capacity has surged as cloud computing and AI drive higher infrastructure needs.
Build an agent. It sounds simple. Yet many businesses spend months experimenting with AI and still struggle to create measurable operational value. After working on production AI systems, workflow automation platforms, and custom software projects, I've noticed a pattern. Most AI automation projects
Google reportedly couldn't meet Meta's demand for Gemini AI compute. It's another reminder that local AI may become one of the biggest trends in personal computing.
We recently announced the preview of the BigQuery AI.AGG() function. With AI.AGG(), you can use natural-language instructions within a single line of SQL to summarize or synthesize information over millions of rows of unstructured or even multimodal data. Summarize millions of rows with one line of
When people first encounter ReAct (Reason + Act), they often think it's just adding three fields—Thought / Action / Observation—to the prompt. But in reality, the core of ReAct isn't the prompt format. It's the Agent's State Machine. This article explains, from an engineering perspective, how ReAct
Renting an AI chip is starting to feel like booking a hotel in a sold-out city. You pay to hold the room, and the rate keeps climbing. On AWS, it just climbed again. Amazon Web Services has raised prices for EC2 Capacity Blocks for ML by roughly 20%, starting in July. Business Insider first reported
The future does not belong to the person who works the hardest. It belongs to the person who builds systems that keep working after they walk away. A coffee shop around lunch is an interesting place to watch modern work. Someone is bouncing between Slack notifications, another person is rewriting th
Google has limited Meta's access to its Gemini AI models due to high demand. This has disrupted Meta's internal AI projects and affected other Google clients. Despite growing Google Cloud revenue, computing power constraints hindered further growth in the sector.
Not everyone is buying Elon Musk’s vision for orbital data centers.
Every now and then, I want to slow down, pick one cloud concept, and break it down properly — no jargon, just the kind of explanation you'd get from a friend who actually knows this stuff. 🤔 First, the question nobody asks 🏢 The "before" picture: Your own servers Buying physical server hardware (e
The industry has recognized that shipping agent code at scale requires runtime verification, and it is moving that way fast. The post Greptile, Cursor, and Devin agree that agents should run their code. What they run it against matters. appeared first on The New Stack.
